A conceptual design of a model-based fault detection and diagnosis system is developed for the Space Shuttle main engine. The design approach consists of process modeling, residual generation, and fault detection and diagnosis. The engine is modeled using a discrete time, quasilinear state-space representation. Model parameters are determined by identification. Residuals generated from the mode...

Fault diagnosis is a central aspect of network fault management. Since faults are unavoidable in communication systems, their quick detection and isolation is essential for the robustness, reliability, and accessibility of a system. In large and complex communication networks, automating fault diagnosis is critical. Traditionally, fault localization has been performed manually by experts but, a...

This paper presents a quantitative review of early detection and estimation of fault for wind turbine system. The model-based technique is proposed to provide an assessment of all possible faults for renewable energy sources. The augmented observer is applied to estimate the real physical data of the system sensor faults and states simultaneously. The fault detection and diagnosis is designed t...

Different test sequence selection methods, namely, the Dmethod, C-method, W-method, T-method, U-method, Uvmethod and the Wp-method, are reviewed and analysed for their fault detection capabilities. We show that the C-method and the Uv-method do not provide complete fault coverage. These seven methods are formally analysed for their fault diagnosis capabilities under single fault assumption. Amo...

Quality control of textile products is an important stage in textile industries. To this end, the conventional method in fault detection is human inspection. In the present work, Wavelet transform was applied on images of simple circular knitted fabrics to diagnose five regular defects. The results showed that the method applied was accurate and fast in addition to being capable of determining ...

The objective of ESPRIT-project 6731 FTMPS [1] is to develop techniques and system software to integrate Fault Tolerance in Massively Parallel Systems [2] . This covers the whole range from error detection, over fault-diagnosis and fault isolation to system and application recovery. Important is the research for applicability in massively parallel systems as well as the development of system so...

To carry out a diagnosis, or detect an abrupt change or fault in dynamic behavior of a studied or supervised system (signal, system or model), on-line or off-line (according to the treated case), it is imperative to develop an installation strategy of a diagnosis tool. In this paper, various techniques of fault detection are presented. The role of hypothesis test as tool for fault presence dete...

This paper focuses on the use of parameter estimation techniques for the implementation of real-time Fault Detection and Diagnosis schemes. A detailed analysis of the nonrecursive and recursive Least Squares methods is given in the context of the system diagnosis problem, and a procedure for performing fault detection and identification for multivariable systems is proposed. An application exam...

On-line vibration monitoring of Rotary Machines is a fundamental axis of development and industrial research. Its purpose is to provide knowledge about the working condition of machines at each moment without stopping the production line. This method allows avoiding the production losses related to breakdowns and reducing overall maintenance costs. Bearing fault diagnosis is important in vibrat...